scholarly journals Geographic dimensions of relevance

2015 ◽  
Vol 71 (4) ◽  
pp. 650-666 ◽  
Author(s):  
Stefano De Sabbata ◽  
Stefano Mizzaro ◽  
Tumasch Reichenbacher

Purpose – The purpose of this paper is to discuss the emerging geographic features of current concepts of relevance, and to improve, modify, and extend the framework proposed by Mizzaro (1998). The objective is to define a new framework able to account, more completely and precisely, for the notions of relevance involved in mobile information seeking scenarios. Design/methodology/approach – The authors formalise two new dimensions of relevance. The first dimension emphasises the spatio-temporal nature of the information seeking process. The second dimension allows us to describe how different concepts of relevance rely on different abstractions of reality. Findings – The new framework allows: to conceptualise the point in space and time at which a given notion of relevance refers to; to conceptualise the level of abstraction taken into account by a given notion of relevance; and to include widely adopted facets (e.g. users mobility, preferences, and social context) in the classification of notions of relevance. Originality/value – The conceptual discussion presented in this paper contributes to the future development of relevance in the scope of mobile information seeking scenarios. The authors provide a more comprehensive framework for conceptualization, development, and classification of notions of relevance in the field of information retrieval and location-based services.

Author(s):  
Henry Larkin

Purpose – The purpose of this paper is to investigate the feasibility of creating a declarative user interface language suitable for rapid prototyping of mobile and Web apps. Moreover, this paper presents a new framework for creating responsive user interfaces using JavaScript. Design/methodology/approach – Very little existing research has been done in JavaScript-specific declarative user interface (UI) languages for mobile Web apps. This paper introduces a new framework, along with several case studies that create modern responsive designs programmatically. Findings – The fully implemented prototype verifies the feasibility of a JavaScript-based declarative user interface library. This paper demonstrates that existing solutions are unwieldy and cumbersome to dynamically create and adjust nodes within a visual syntax of program code. Originality/value – This paper presents the Guix.js platform, a declarative UI library for rapid development of Web-based mobile interfaces in JavaScript.


2017 ◽  
Vol 45 (2) ◽  
pp. 66-74
Author(s):  
Yufeng Ma ◽  
Long Xia ◽  
Wenqi Shen ◽  
Mi Zhou ◽  
Weiguo Fan

Purpose The purpose of this paper is automatic classification of TV series reviews based on generic categories. Design/methodology/approach What the authors mainly applied is using surrogate instead of specific roles or actors’ name in reviews to make reviews more generic. Besides, feature selection techniques and different kinds of classifiers are incorporated. Findings With roles’ and actors’ names replaced by generic tags, the experimental result showed that it can generalize well to agnostic TV series as compared with reviews keeping the original names. Research limitations/implications The model presented in this paper must be built on top of an already existed knowledge base like Baidu Encyclopedia. Such database takes lots of work. Practical implications Like in digital information supply chain, if reviews are part of the information to be transported or exchanged, then the model presented in this paper can help automatically identify individual review according to different requirements and help the information sharing. Originality/value One originality is that the authors proposed the surrogate-based approach to make reviews more generic. Besides, they also built a review data set of hot Chinese TV series, which includes eight generic category labels for each review.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Enas M.F. El Houby

PurposeDiabetic retinopathy (DR) is one of the dangerous complications of diabetes. Its grade level must be tracked to manage its progress and to start the appropriate decision for treatment in time. Effective automated methods for the detection of DR and the classification of its severity stage are necessary to reduce the burden on ophthalmologists and diagnostic contradictions among manual readers.Design/methodology/approachIn this research, convolutional neural network (CNN) was used based on colored retinal fundus images for the detection of DR and classification of its stages. CNN can recognize sophisticated features on the retina and provides an automatic diagnosis. The pre-trained VGG-16 CNN model was applied using a transfer learning (TL) approach to utilize the already learned parameters in the detection.FindingsBy conducting different experiments set up with different severity groupings, the achieved results are promising. The best-achieved accuracies for 2-class, 3-class, 4-class and 5-class classifications are 86.5, 80.5, 63.5 and 73.7, respectively.Originality/valueIn this research, VGG-16 was used to detect and classify DR stages using the TL approach. Different combinations of classes were used in the classification of DR severity stages to illustrate the ability of the model to differentiate between the classes and verify the effect of these changes on the performance of the model.


2017 ◽  
Vol 18 (4) ◽  
pp. 380-399 ◽  
Author(s):  
Rui Biscaia ◽  
Galen Trail ◽  
Stephen Ross ◽  
Masayuki Yoshida

Purpose Previous research has focused on the antecedents of fan loyalty or the link between fans and the team on sponsorship reactions, but no comprehensive framework has been developed to combine these perspectives. The purpose of this paper is to present an integrated framework of how team brand experience during the season impacts sponsorship brand experience. Design/methodology/approach To create the conceptual model, a comprehensive search of peer-reviewed articles was conducted in electronic databases and journal reference lists. The authors identified constructs from prior research aimed at understanding sponsorship effectiveness. These constructs not only included aspects of the sponsorship brand experience, but also aspects within the team brand experience that form the link between consumers’ responses derived from team-related stimuli and the responses evoked by sponsor-related stimuli. Findings This conceptual framework yields a set of 11 propositions regarding fans’ interactions with both team and sponsorship brands highlighting how to strengthen the bond between fans, teams, and sponsors. It provides a comprehensive understanding of this phenomenon and identifies opportunities to increase fan support and the appeal of professional teams to potential sponsors. Originality/value This study extends previous research by providing a unique conceptual framework that highlights the importance of understanding how fans view both the team brand and the sponsor brand. Several suggestions for future studies and strategies to increase the benefits for both teams and sponsors can be drawn from this framework.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peter Enderwick

Purpose The continuation of China’s belt and road initiative (BRI) is assumed in most analyses. Yet, recent events have created significant reputational damage for China and Chinese businesses. With a trade war evolving into a hegemonic struggle, there are a number of potential developments that could derail the BRI. This paper aims to provide a contemporary review of the factors that could negatively impact its continuation, and what China has done to mitigate the risks. Design/methodology/approach A descriptive paper that groups possible disruptive factors into three groups: internal weaknesses of the BRI and its design; those related to China’s implementation of the BRI and external concerns and pressures. Findings China has actively reviewed and refined the BRI to reduce its perceived weaknesses and increase its attractiveness to potential participants, focussing on debt dependency, transparency and governance. However, this has occurred at the same time as growing concerns regarding China’s international assertiveness, the hegemonic challenge and recovery from the COVID-19 pandemic. Research limitations/implications These changes are occurring within an extremely dynamic environment and any analysis at one point in time is subject to considerable limitations. However, the paper brings together a range of disparate perspectives in a structured manner. Originality/value The classification of possible threats to the BRI is original and provides insights into the relative significance of the diverse challenges that China faces. The paper concludes that while China’s operational focus on the mechanics of the BRI process is necessary, it may not be sufficient to ensure its continuing development. The paper identifies the next step which is conceptualisation of these ideas and of the BRI. Some guidance as to how this might be done is provided.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mehdi Jamshidi ◽  
Farshid Saeedi ◽  
Hamid Darabi

PurposeThe purpose of this paper is to determine the structure of nilpotent (n+6)-dimensional n-Lie algebras of class 2 when n≥4.Design/methodology/approachBy dividing a nilpotent (n+6)-dimensional n-Lie algebra of class 2 by a central element, the authors arrive to a nilpotent (n+5) dimensional n-Lie algebra of class 2. Given that the authors have the structure of nilpotent (n+5)-dimensional n-Lie algebras of class 2, the authors have access to the structure of the desired algebras.FindingsIn this paper, for each n≥4, the authors have found 24 nilpotent (n+6) dimensional n-Lie algebras of class 2. Of these, 15 are non-split algebras and the nine remaining algebras are written as direct additions of n-Lie algebras of low-dimension and abelian n-Lie algebras.Originality/valueThis classification of n-Lie algebras provides a complete understanding of these algebras that are used in algebraic studies.


foresight ◽  
2017 ◽  
Vol 19 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Mohsen Mohammadi ◽  
Mohammad Rahim Eivazi ◽  
Jafar Sajjadi

Purpose The purpose of this paper is threefold: to classify wildcards into three particular types sharing similar characteristics; use the Fuzzy TOPSIS as a new method in foresight to turn qualitative ideas into quantitative ones; and apply a combination of Fuzzy TOPSIS and a panel of experts to prioritize weak signals. Design/methodology/approach In this paper, the authors classify wildcards into three particular types which share similar character: natural wildcards, artificial wildcards (Degree 1) and artificial wildcards (Degree 2). Wildcards point to unexpected and surprising events including important results that can form watershed in the development of a specific trend. In addition, the authors present a Fuzzy TOPSIS model which can be used in various cases to prioritize a number of weak signals and put them in order, so that the most important ones are likely to yield the wildcard in the future Findings The authors presented a classification of wildcards with the same characteristics being natural wildcards, artificial wildcards (Degree 1) and artificial wildcards (Degree 2). The authors also prioritized the weak signals to deal with the most important ones and take appropriate action in advance so as to minimize possible damages and maximize the benefits of potential wildcards in an uncertain environment. Originality/value In this paper, the authors report on the prioritizing of weak signals by applying Fuzzy TOPSIS and classify wildcards. This is significant because, by identifying the most important weak signals, appropriate actions can be taken in the future if necessary. The paper should be of interest to readers in the area of participatory foresight.


2016 ◽  
Vol 17 (3) ◽  
pp. 1-27
Author(s):  
Alexander Aganin

Purpose To provide an analysis of securities class action filings in 2015 along with related trends over time and a comprehensive current view of the securities class action landscape. Design/methodology/approach Details 2015 securities class actions and related trends in terms of the number and size of filings; market capitalization losses; the litigation exposure of IPOs; the classification of complaints; litigation likelihood for US exchange-listed companies; resolutions (settlements, dismissals or trial verdict outcomes); timing of dismissals and settlements; filing lags; filings against foreign issuers; number of mega filings; recent rulings related to class certification; and concentration of class action activity by industry sector, stock exchange and court circuit. Findings The number of filings in 2015 was the largest since 2008. The Disclosure Dollar Loss Index® (DDL Index®), the Maximum Dollar Loss Index® (MDL Index®) and the number of mega filings rose sharply in 2015 after declines in 2014. The Consumer Non-Cyclical sector had the most filings in 2015 while filings against companies in the Financial sector were below historical averages. Dismissal rates appear to be trending down. The median filing lag has never been shorter than in 2015. Filings against foreign issuers remain at high levels. Filings against S&P 500 companies remained below the historical average. Originality/value Detailed analysis by legal and industry experts.


2015 ◽  
Vol 47 (6) ◽  
pp. 293-301 ◽  
Author(s):  
Charbel Jose Chiappetta Jabbour ◽  
Ana Beatriz Lopes de Sousa Jabbour ◽  
Walter Leal Filho ◽  
Angappa Gunasekaran

Purpose – The search for a more sustainable society depends on more sustainable organisations and, as such, Production (Industrial) Engineering may contribute to this process through the training of professionals with a greater social and environmental consciousness. The purpose of this paper is to present arguments in favour of the integration of Production Engineering and the Millennium Development Goals and evaluate the potential of Production Engineering subareas in contributing to the Millennium Development Goals. Design/methodology/approach – This work is conceptual and integrative in order to provide an original framework. A Brazilian perspective on Production Engineering has been adopted. Findings – A framework is proposed to guide this integration process by providing suggestions for an agenda of opportunities for academics and practitioners in favour of a more sustainable society. Originality/value – This work presents a new framework integrating Production Engineering and the Millennium Development Goals in order to promote a more sustainable training in Production (Industrial) Engineering field of research.


2019 ◽  
Vol 38 (1) ◽  
pp. 155-169
Author(s):  
Chihli Hung ◽  
You-Xin Cao

Purpose This paper aims to propose a novel approach which integrates collocations and domain concepts for Chinese cosmetic word of mouth (WOM) sentiment classification. Most sentiment analysis works by collecting sentiment scores from each unigram or bigram. However, not every unigram or bigram in a WOM document contains sentiments. Chinese collocations consist of the main sentiments of WOM. This paper reduces the complexity of the document dimensionality and makes an improvement for sentiment classification. Design/methodology/approach This paper builds two contextual lexicons for feature words and sentiment words, respectively. Based on these contextual lexicons, this paper uses the techniques of associated rules and mutual information to build possible Chinese collocation sets. This paper applies preference vector modelling as the vector representation approach to catch the relationship between Chinese collocations and their associated concepts. Findings This paper compares the proposed preference vector models with benchmarks, using three classification techniques (i.e. support vector machine, J48 decision tree and multilayer perceptron). According to the experimental results, the proposed models outperform all benchmarks evaluated by the criterion of accuracy. Originality/value This paper focuses on Chinese collocations and proposes a novel research approach for sentiment classification. The Chinese collocations used in this paper are adaptable to the content and domains. Finally, this paper integrates collocations with the preference vector modelling approach, which not only achieves a better sentiment classification performance for Chinese WOM documents but also avoids the curse of dimensionality.


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